Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10BD27532E190263B4297D2D8B321672EB2D3828DEF96151193FD839D1FE7E50DD6342A |
|
CONTENT
ssdeep
|
384:be/GL6yW1C3rUQfwykAaC/GqDhpzZba1uPwDkwiRT839qY+REzkX643cRwIpWgVK:be/GLtd16yX1Ec9n37sOy2+y9BH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d272f43a994dc5c1 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
1c0c4849cdcd9300 |
|
VISUAL
wHash
|
00c6f0200f07ffff |
|
VISUAL
colorHash
|
39000c000c0 |
|
VISUAL
cropResistant
|
0080800458988000,9c0cc848d9cdcd33 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)